Findings and analysis of dissertation

Context is important because you need to communicate the significance of your results in relation to the research questions. As such, it is always a good idea to follow these helpful tips. Many schools will have a style guide covering what is expected from the results and findings chapter of your work. Different disciplines present results in different ways. In the hard sciences, for instance, basic findings are often presented separately from the discussion.

In the social sciences, however, it is more common to present the results and discussion at the same time. By explaining what your findings chapter will include, you will prime your reader to understand what follows.


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This may involve briefly restating the methods of analysis used, particularly if your work includes statistical data. This is especially true for the literature review and methodology chapters. Referring to the literature review allows you to compare your results to those achieved by others in your field.

Referring to your methodology, meanwhile, lets you determine whether your findings were influenced by the techniques used to gather and analyze data. Instead, you need to explain the significance of your results in relation to your hypothesis and justify your conclusions. A well-chosen table or graph is an excellent way of presenting your data.

However, remember that using too many graphs and charts without explaining their significance can be confusing for the reader! If you need more tips on how to write your dissertation, you should check out the rest of our academic blog. By the end of the research process, you've probably collected very large amounts of data. Not all of this can possibly appear in your dissertation without completely overwhelming the reader.

As a result, you need to be able to make smart decisions about what to include and what to leave out. One of the easiest ways to approach this task is to create an outline. In approaching the outline, it is in your best interest to focus on two key points. Firstly, you need to focus on answering your research questions. Secondly, you must include any particularly interesting findings that have cropped up as you completed your research.

An outline will give you the structure you need, and should make the whole process of presenting your findings easier. We realise that it is going to be a difficult process to pick and choose pieces of data to include. But you must be diligent in the work that you cut out. A findings chapter that is long and confusing is going to put the reader off reading the rest of your work. This is a huge chunk of information, so it's essential that it is clearly organised and that the reader knows what is supposed to be happening.

One of the ways you can achieve this is through a logical and organised introduction. A brief description of how you intend approaching the write up of the results. Letting the reader know where they can find the research instruments i. With a findings chapter, there should be no suspense for the reader. You need to tell them what they need to know right from the beginning. This way, they'll have a clear idea about what is still to come. A good introduction will start by telling the reader where you have come from in the research process and what the outcome was in a couple of paragraphs or less.

You need to highlight the structure of the chapter as you generally will do with all chapters and where the reader might find any further information e. This is really going to depend on the type of project you have created. For example, if you have completed a qualitative research project, you might have identified some key themes within the software program you used to organise your data. In this case, highlighting these themes in your findings chapter may be the most appropriate way to proceed.

Not only are you using information that you have already documented, you are telling a story in each of your sections which can be useful in qualitative research. But what if you undertook a more quantitative type study? You might be better off structuring your findings chapter in relation to your research questions or your hypotheses. This assumes, of course, that you have more than one research question or hypothesis. Otherwise you would end up just having one really long section.

How to prepare a good Dissertation Finding & Analysis

Subheadings are ultimately going to be your friend throughout your dissertation writing. Not only do they organise your information into logical pieces, they give the reader guidelines for where your research might be going.


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This is also a break for the reader. Looking at pages and pages of text without any breaks can be daunting and overwhelming for a reader. You don't want to overwhelm someone who is going to mark your work and who is responsible for your success or failure. When writing your introduction, be clear, organised and methodical. Tell the reader what they need to know and try to organise the information in a way that makes the most sense to you and your project.

If in doubt, discuss this with your supervisor before you start writing. If you have conducted things like interviews or observations, you are likely to have transcripts that encompass pages and pages of work. Putting this all together cohesively within one chapter can be particularly challenging. This is true for two reasons. Secondly, unlike quantitative data, it can often be difficult to represent qualitative data through figures and tables, so condensing the information into a visual representation is simply not possible.

Analysis Chapter in a Master Dissertation

As a writer, it is important to address both these challenges. When considering how to present your qualitative data, it may be helpful to begin with the initial outline you have created and the one described above. Within each of your subsections, you are going to have themes or headings that represent impactful talking points that you want to focus on. If you have used multiple different instruments to collect data e. This is so that you can demonstrate to more well-rounded perspective of the points you are trying to make.

Combine The Two Or Separate Them?

Once you have your examples firmly selected for each subsection, you want to ensure that you are including enough information. You must set up the examples you have chosen in a clear and coherent way. Students often make the mistake of including quotations without any other information. Usually this means writing about the example both before and after.

This was a focal point for 7 of my 12 participants, and examples of their responses included: [insert example] by participant 3 and [insert example] by participant 9. The reoccurring focus by participants on the need for more teachers demonstrates [insert critical thought here].

By embedding your examples in the context, you are essentially highlighting to the reader what you want them to remember. Aside from determining what to include, the presentation of such data is also essential. Participants, when speaking in an interview might not do so in a linear way.

Data Analysis Help

Instead they might jump from one thought to another and might go off topic here and there. So the quotes need to be paired down to incorporate enough information for the reader to be able to understand, while removing the excess. Finding this balance can be challenging. You have likely worked with the data for a long time and so it might make sense to you.

How to Write a Dissertation Results Chapter

Try to see your writing through the eyes of someone else, which should help you write more clearly. Something to consider first with numeric data is that presentation style depends what department you are submitting to. In the hard sciences, there is likely an expectation of heavy numeric input and corresponding statistics to accompany the findings.

In the arts and humanities, however, such a detailed analysis might not be as common. Therefore as you write out your quantitative findings, take your audience into consideration. Just like with the qualitative data, you must ensure that your data is appropriately organised. Again, you've likely used a software program to run your statistical analysis, and you have an outline and subheadings where you can focus your findings.


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There are many software programs available and it is important that you have used one that is most relevant to your field of study.